Shear-wave velocity structure from MASW and SPAC methods: The case of Adra town, SE Spain
P. Martínez-Pagán, M. Navarro, J. Pérez-Cuevas, F. J. Alcalá, A. García-Jerez and F. Vidal
Issue: Vol 16, No 3, June 2018 pp. 356 - 371
Special Topic: Urban Geophysics: New Developments and Research
Info: Article, PDF ( 1.76Mb )
The damage distribution in the town of Adra (south-eastern Spain) during the 1993 and 1994 Adra earthquakes of magnitude Mw~5.0 and maximum intensity degree of VII (European Macroseismic Scale) was mainly concentrated in the southeast sector, where the low-diagenetic (soft) sediments outcrop. As new urbanizations are being planned in this sector, a soil classification based on the shallow shear-wave velocity (Vs) structure is needed. For the purpose of earthquake disaster mitigation, the Spatial Autocorrelation (SPAC) and the Multichannel Analysis of Surface Waves (MASW) methods were used to propose integrated 2D Vs models for the seismic response characterization of the shallow geology. Joint inversion of H/V spectral ratios of ambient noise, interpreted under the Diffuse Field Approach and the dispersion curves derived from the SPAC method allowed us to obtain more constrained models. Both SPAC and MASW methods provided similar results for the surveyed geological formations. From these models, a classification of the geological formations was carried out in terms of Vs30 values and Eurocode 8 (European Committee for Standardization 1998) classes. Lower Vs30 values in the 180-360 m/s range were found in the southeastern sector of the town, where soft sediments outcrop and some building damage was reported during the 1993-1994 earthquakes. The highest Vs30 values exceeding 800 m/s appear in the northern sector, where the hardest rocks outcrop and no building damage was reported. The combination of the well-suited Vs database prepared for different geological formations with the 1:5,000 scale geological mapping was an important step to obtain the detailed soil microzonation map of Adra. This approach offered a new predictive insight into the building damage distribution, which would contribute to the appropriate urban planning for the future growth of the town.